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that corrected pseudoranges correspond to physically consistent receiver positions across all satellites. Temporal smoothness: enforcing corrections that are consistent with expected receiver dynamics, such as
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of Dr Hannes Houck . The PhD project is funded under the ‘DeCoDER’ programme by the European Research Council (ERC-StG, 101222417 – press release ). The position is available for a start date from
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information about the role, please click on the ‘Apply’ button above. For informal enquiries, please contact Professor Florian Hollfelder via fh111@cam.ac.uk . For queries regarding the application process
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partners across Europe allow a particularly wide skills training, including experimental and computational work. Applicants should thus have a first (or upper second) class degree in chemistry, biochemistry
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overall, 6 in each category). Acceptable first degree: Computer Science/Physics/Maths or other numerate discipline. Mode of Study Full-time Start Date 1 October 2026 Funding Information ARIES studentships
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-making process. Research Objectives Model Learning in Dynamic Contexts Investigate the use of reinforcement learning for constructing and updating probabilistic world models (transition and observation
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for 4 years. The PhD project would suit a candidate with an undergraduate degree (2:1 minimum) in computer science, bioinformatics, physics, or chemistry. References: [1] Ludwig C. MetaboLabPy — An Open
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The National Centre for Suicide Prevention and
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set of fabrication technologies which build on the principles of 3D printing, but which can process cells and other biological materials. When used in conjunction with other biofabrication techniques
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persistence arises from the biomass type, formation process and/or the final composition and structure itself. We will quantify these features and engineer biochar with enhanced long-term carbon stability using